
Leading supplier of end-to-end high speed Ethernet and InfiniBand intelligent interconnect solutions and services.

Leading supplier of end-to-end high speed Ethernet and InfiniBand intelligent interconnect solutions and services.
Founded: 1993
Headcount (approx.): 42,295
Core focus: GPUs, AI computing platforms, systems, and software
Notable software: CUDA, Omniverse
High-performance computing, AI infrastructure, graphics rendering, networking for data centers, and industrial/autonomous systems.
1993
Semiconductors / AI compute / Software platforms
$2 billion
Investment in CoreWeave to expand AI compute capacity.
$5 billion
Purchase of an equity stake in Intel as part of a collaboration.
$500 million - $1 billion (reported)
Reported investment in Poolside as part of a larger funding round.
NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world. . As part of this role, you will play a crucial role in developing pioneering GPUs that drive millions of workstations, PCs, and notebooks. Our mission is to provide an exceptional visual computing experience, and we are looking to you to tackle complex system software challenges within our GPU software team. Join us as we explore the possibilities! - Improve existing software by debugging, analyzing, and providing solutions to complex issues in areas such as display technologies and power management. - Design, develop, unit test, document, and maintain features for kernel mode drivers. - Collaborate with forward-thinking and motivated engineers around the world as an equal member of a multi-site project team. - Tackle a variety of problems that directly impact NVIDIA’s end users and partner OEMs. - Work closely with the GPU Resource Manager Kernel driver to improve visual computing experiences. - Strong software engineering skills combined with a dedication to tackling hard problems. - 7+ years of hands-on experience in writing and debugging kernel mode drivers on X86/AMD64 platforms. - Excellent programming skills and proficiency in C/C++ language, libraries, and toolchains. - Detailed knowledge of Linux kernel internals and low-level system programming. - Good written and verbal communication skills, along with strong collaborative and networking abilities. - Experience working on unreleased hardware platforms. - Bachelor's or Master's degree (or equivalent experience) in Computer Engineering, Computer Science, or a related field. - Experience with device driver development for ARM SOC platforms. - Background in embedded system software concepts, such as RTOS and overlay programming models. - Contributions to upstream projects. - A passion for what you do. Widely considered to be one of the technology world’s most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. As you plan your future, see what we can offer to you and your family www.nvidiabenefits.com/ NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law. JR1999338